Biostatistician/Data Scientist in Personalized Healthcare (m/f/d)
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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Your department
With a department of more than 100 biostatisticians, data scientists, and data managers located at Roche Diagnostics sites in Penzberg, Indianapolis, Mannheim and Sant Cugat del Vallès, we support global projects for bringing new diagnostics to patients.
The Opportunity
In this role within our Biostatistics & Personalized Healthcare team, you will contribute directly to the research, development, and validation of biomarkers and Companion Diagnostics (CDx).
Working in an environment that values open collaboration and innovation, you will receive structured mentorship from senior biostatisticians while applying data science principles to high-impact diagnostic projects. You will gain hands-on experience navigating regulatory frameworks and translating complex biological data into robust diagnostic insights.
Key Responsibilities
Biomarker Development & Data Science: Support the development and validation of novel biomarkers and companion diagnostic assays.
Statistical Programming (R): Write, validate, and execute reproducible, high-quality analysis scripts in R to process analytical and clinical datasets.
Data Quality & Compliance: Perform code peer-reviews and rigorous quality control checks to ensure data accuracy and adherence to internal SOPs and regulatory standards.
Study Planning & Design: Assist in drafting Statistical Analysis Plans (SAPs) and performing sample size/power calculations for analytical and clinical studies.
Cross-Functional Collaboration: Partner with interdisciplinary study teams to understand data requirements and present complex statistical findings clearly.
Who You Are
You are a curious, analytical thinker who thrives in a collaborative environment and is passionate about using quantitative methods to advance healthcare.
Your Profile:
Education: Degree ( M.Sc ., or Ph.D.) in (Bio)statistics, Mathematics, Data Science, Physics, Epidemiology, or a related quantitative field.
Diagnostic Statistics: Foundational understanding of statistical methodologies relevant to diagnostic applications (e.g., ROC curve analysis, cut-off determination, logistic regression, survival analysis, or longitudinal modeling).
Technical Toolkit: Strong knowledge of R and report automation tools ( LaTeX , R Markdown , knitr , or Quarto ). Familiarity with AI-assisted coding tools/workflows is a plus.
Communication Skills: Ability to break down complex quantitative concepts and communicate them clearly to non-statistical team members. Strong organization and technical documentation skills.
Languages: Fluency in English (written and spoken) is required.
Preferred : Previous exposure to diagnostic/pharmaceutical research or clinical trial data analysis through internships, working student roles, or academic research projects.
What do we offer?
We offer competitive compensation and excellent social benefits like flexible work schedule and home office policies, medical insurance, pension plan, allowances for marriage and birth, training related to your career development, gym, meal allowance, flexible remuneration scheme with its fiscal advantages and other benefits
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Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 285 comparable Biostatistics & Data Science roles across 44 biopharma companies.
Salary context
126 of 285 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 285 comparable roles
+ 17 more countries
Seniority mix
243 of 285 peers have a known seniority level
Therapeutic area mix
27 of 285 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.